Cloud Native Data Architect

2 days ago

Pune, Maharashtra, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Overview

We are seeking an experienced Data Engineer to join our team. As a key member of our transformation under GenpactNext, you will play a crucial role in driving the adoption of innovations like the Genpact AP Suite in finance and accounting.

The ideal candidate will have strong experience in designing, implementing data pipelines, building data applications, and data migration on AWS. They will also possess advanced programming skills in Python for data processing and automation.

Key Responsibilities
  • Design and develop scalable RESTful APIs using Node.js and Python, enabling seamless data access and integration across distributed systems.
  • Build and manage backend services that interact with SQL databases and cloud storage (e.g., Amazon S3, RDS, Redshift) to support analytics and application workflows.
  • Develop serverless applications and automation scripts using AWS Lambda, Python, and Node.js, orchestrated via AWS Step Functions and integrated with AWS services.
  • Implement Infrastructure as Code (IaC) using AWS CloudFormation to provision and manage resources such as EC2, Lambda, and VPCs for scalable, secure environments.
  • Refactor and migrate legacy systems to cloud-native architectures on AWS, leveraging services like EC2, DynamoDB, Lambda, and RDS for improved scalability and maintainability.
  • Write efficient and reusable SQL queries to support application logic and reporting needs, ensuring high performance through indexing and query optimization.
  • Monitor and optimize API and backend service performance, using logging, profiling tools, and cloud-native monitoring (e.g., CloudWatch, X-Ray) to ensure reliability and uptime.
  • Apply authentication and authorization best practices using IAM roles, API Gateway, and JWTs to secure API endpoints and data access.
Requirements
  • Experience in designing, implementing data pipelines, building data applications, and data migration on AWS.
  • Strong experience in implementing data lakes using AWS services like Glue, Lambda, Step, and Redshift.
  • Strong experience in Node.js, Python, and SQL.
  • Proven expertise in AWS services such as S3, Lambda, Glue, EMR, and Redshift.
  • Advanced programming skills in Python for data processing and automation.
  • Hands-on experience with Apache Spark for large-scale data processing.
  • Proficiency in SQL for data querying and transformation.
  • Strong understanding of security principles and best practices for cloud-based environments.
  • Experience with monitoring tools and implementing proactive measures to ensure system availability and performance.
  • Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment.
  • Strong communication and collaboration skills to work effectively with cross-functional teams.

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